default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEMNLP 2017: Copenhagen, Denmark
- Martha Palmer, Rebecca Hwa, Sebastian Riedel:
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-83-8 - Yuki Arase, Junichi Tsujii:
Monolingual Phrase Alignment on Parse Forests. 1-11 - Tianze Shi, Liang Huang, Lillian Lee
:
Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set. 12-23 - Junjie Cao, Sheng Huang, Weiwei Sun, Xiaojun Wan:
Quasi-Second-Order Parsing for 1-Endpoint-Crossing, Pagenumber-2 Graphs. 24-34 - Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, Christopher D. Manning:
Position-aware Attention and Supervised Data Improve Slot Filling. 35-45 - Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han:
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. 46-56 - Zhongqing Wang, Yue Zhang, Ching-Yun Chang:
Integrating Order Information and Event Relation for Script Event Prediction. 57-67 - Chuanqi Tan, Furu Wei, Pengjie Ren, Weifeng Lv, Ming Zhou:
Entity Linking for Queries by Searching Wikipedia Sentences. 68-77 - Tommaso Pasini, Roberto Navigli:
Train-O-Matic: Large-Scale Supervised Word Sense Disambiguation in Multiple Languages without Manual Training Data. 78-88 - Siva Reddy, Oscar Täckström, Slav Petrov, Mark Steedman, Mirella Lapata:
Universal Semantic Parsing. 89-101 - Yuval Pinter, Robert Guthrie, Jacob Eisenstein:
Mimicking Word Embeddings using Subword RNNs. 102-112 - Ehsaneddin Asgari, Hinrich Schütze:
Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 Languages. 113-124 - Kazuma Hashimoto, Yoshimasa Tsuruoka:
Neural Machine Translation with Source-Side Latent Graph Parsing. 125-135 - Rongxiang Weng, Shujian Huang, Zaixiang Zheng, Xin-Yu Dai, Jiajun Chen:
Neural Machine Translation with Word Predictions. 136-145 - Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn:
Towards Decoding as Continuous Optimisation in Neural Machine Translation. 146-156 - Nikita Kitaev, Dan Klein:
Where is Misty? Interpreting Spatial Descriptors by Modeling Regions in Space. 157-166 - Afshin Rahimi, Timothy Baldwin, Trevor Cohn:
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks. 167-176 - Xuwang Yin, Vicente Ordonez:
Obj2Text: Generating Visually Descriptive Language from Object Layouts. 177-187 - Kenton Lee, Luheng He, Mike Lewis, Luke Zettlemoyer:
End-to-end Neural Coreference Resolution. 188-197 - Jiwei Li, Dan Jurafsky:
Neural Net Models of Open-domain Discourse Coherence. 198-209 - Kexiang Wang, Tianyu Liu, Zhifang Sui, Baobao Chang:
Affinity-Preserving Random Walk for Multi-Document Summarization. 210-220 - Ana Marasovic, Leo Born, Juri Opitz, Anette Frank:
A Mention-Ranking Model for Abstract Anaphora Resolution. 221-232 - Kim Anh Nguyen, Maximilian Köper, Sabine Schulte im Walde, Ngoc Thang Vu:
Hierarchical Embeddings for Hypernymy Detection and Directionality. 233-243 - Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du:
Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics. 244-253 - Julien Tissier, Christophe Gravier, Amaury Habrard:
Dict2vec : Learning Word Embeddings using Lexical Dictionaries. 254-263 - Tzu-Ray Su, Hung-yi Lee:
Learning Chinese Word Representations From Glyphs Of Characters. 264-273 - John Wieting, Jonathan Mallinson, Kevin Gimpel:
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext. 274-285 - Jinxing Yu, Xun Jian, Hao Xin, Yangqiu Song:
Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components. 286-291 - Arihant Gupta, Syed Sarfaraz Akhtar, Avijit Vajpayee, Arjit Srivastava, Madan Gopal Jhanwar, Manish Shrivastava:
Exploiting Morphological Regularities in Distributional Word Representations. 292-297 - Shaonan Wang, Jiajun Zhang, Chengqing Zong:
Exploiting Word Internal Structures for Generic Chinese Sentence Representation. 298-303 - Aurélie Herbelot, Marco Baroni:
High-risk learning: acquiring new word vectors from tiny data. 304-309 - Joseph Sanu, Mingbin Xu, Hui Jiang, Quan Liu:
Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding. 310-315 - Jared Fernandez, Zhaocheng Yu, Doug Downey:
VecShare: A Framework for Sharing Word Representation Vectors. 316-320 - Souleiman Hasan, Edward Curry:
Word Re-Embedding via Manifold Dimensionality Retention. 321-326 - Guang-He Lee, Yun-Nung Chen:
MUSE: Modularizing Unsupervised Sense Embeddings. 327-337 - Nils Reimers, Iryna Gurevych:
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging. 338-348 - André F. T. Martins, Julia Kreutzer:
Learning What's Easy: Fully Differentiable Neural Easy-First Taggers. 349-362 - Nobuhiro Kaji, Hayato Kobayashi:
Incremental Skip-gram Model with Negative Sampling. 363-371 - Sebastian Ruder, Barbara Plank:
Learning to select data for transfer learning with Bayesian Optimization. 372-382 - Prajit Ramachandran, Peter J. Liu, Quoc V. Le:
Unsupervised Pretraining for Sequence to Sequence Learning. 383-391 - Denny Britz, Melody Y. Guan, Minh-Thang Luong:
Efficient Attention using a Fixed-Size Memory Representation. 392-400 - Sungjoon Park, JinYeong Bak, Alice Oh:
Rotated Word Vector Representations and their Interpretability. 401-411 - David Alvarez-Melis, Tommi S. Jaakkola:
A causal framework for explaining the predictions of black-box sequence-to-sequence models. 412-421 - Iulian Vlad Serban, Alexander G. Ororbia II, Joelle Pineau, Aaron C. Courville:
Piecewise Latent Variables for Neural Variational Text Processing. 422-432 - Thomas Lavergne, François Yvon:
Learning the Structure of Variable-Order CRFs: a finite-state perspective. 433-439 - Alham Fikri Aji, Kenneth Heafield:
Sparse Communication for Distributed Gradient Descent. 440-445 - Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher:
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks. 1923-1933 - You Lu, Jeffrey Lund, Jordan L. Boyd-Graber:
Why ADAGRAD Fails for Online Topic Modeling. 446-451 - Peng Chen, Zhongqian Sun, Lidong Bing, Wei Yang:
Recurrent Attention Network on Memory for Aspect Sentiment Analysis. 452-461 - Yunfei Long, Qin Lu, Rong Xiang, Minglei Li, Chu-Ren Huang:
A Cognition Based Attention Model for Sentiment Analysis. 462-471 - Lahari Poddar, Wynne Hsu, Mong-Li Lee:
Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews. 472-481 - Aniruddha Ghosh, Tony Veale:
Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal. 482-491 - Alex Morales, Chengxiang Zhai:
Identifying Humor in Reviews using Background Text Sources. 492-501 - Le Yi Wang, Rui Xia:
Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment Supervision. 502-510 - Kui Xu, Xiaojun Wan:
Towards a Universal Sentiment Classifier in Multiple languages. 511-520 - Zi-Yi Dou:
Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network. 521-526 - Min Yang, Jincheng Mei, Heng Ji, Wei Zhao, Zhou Zhao, Xiaojun Chen:
Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters. 527-533 - Liang-Chih Yu, Jin Wang, K. Robert Lai, Xuejie Zhang:
Refining Word Embeddings for Sentiment Analysis. 534-539 - Md. Shad Akhtar, Abhishek Kumar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya:
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis. 540-546 - Raksha Sharma, Arpan Somani, Lakshya Kumar, Pushpak Bhattacharyya:
Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word Embeddings. 547-552 - Yasheng Wang, Yang Zhang, Bing Liu:
Sentiment Lexicon Expansion Based on Neural PU Learning, Double Dictionary Lookup, and Polarity Association. 553-563 - Wenhan Xiong, Thien Hoang, William Yang Wang:
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning. 564-573 - Rodrigo Nogueira, Kyunghyun Cho:
Task-Oriented Query Reformulation with Reinforcement Learning. 574-583 - Xingxing Zhang, Mirella Lapata:
Sentence Simplification with Deep Reinforcement Learning. 584-594 - Meng Fang, Yuan Li, Trevor Cohn:
Learning how to Active Learn: A Deep Reinforcement Learning Approach. 595-605 - Shashi Narayan, Claire Gardent, Shay B. Cohen, Anastasia Shimorina:
Split and Rephrase. 606-616 - Zhen Xu, Bingquan Liu, Baoxun Wang, Chengjie Sun, Xiaolong Wang, Zhuoran Wang, Chao Qi:
Neural Response Generation via GAN with an Approximate Embedding Layer. 617-626 - Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth:
A Hybrid Convolutional Variational Autoencoder for Text Generation. 627-637 - Nabil Hossain, John Krumm, Lucy Vanderwende, Eric Horvitz, Henry A. Kautz:
Filling the Blanks (hint: plural noun) for Mad Libs Humor. 638-647 - Enrico Santus, Emmanuele Chersoni, Alessandro Lenci, Philippe Blache:
Measuring Thematic Fit with Distributional Feature Overlap. 648-658 - Dheeraj Mekala, Vivek Gupta, Bhargavi Paranjape, Harish Karnick:
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations. 659-669 - Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, Antoine Bordes:
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data. 670-680 - Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez, Daisuke Bekki:
Determining Semantic Textual Similarity using Natural Deduction Proofs. 681-691 - Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang:
Multi-Grained Chinese Word Segmentation. 692-703 - Nasser Zalmout, Nizar Habash:
Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic. 704-713 - Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky:
Paradigm Completion for Derivational Morphology. 714-720 - Karl Stratos:
A Sub-Character Architecture for Korean Language Processing. 721-726 - Tobias Horsmann, Torsten Zesch:
Do LSTMs really work so well for PoS tagging? - A replication study. 727-736 - Lara McConnaughey, Jennifer Dai, David Bamman:
The Labeled Segmentation of Printed Books. 737-747 - Ryan Cotterell, Georg Heigold:
Cross-lingual Character-Level Neural Morphological Tagging. 748-759 - Hao Zhou, Zhenting Yu, Yue Zhang, Shujian Huang, Xin-Yu Dai, Jiajun Chen:
Word-Context Character Embeddings for Chinese Word Segmentation. 760-766 - Takamasa Oshikiri:
Segmentation-Free Word Embedding for Unsegmented Languages. 767-772 - Mrinmaya Sachan, Avinava Dubey, Eric P. Xing:
From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems. 773-784 - Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy:
RACE: Large-scale ReAding Comprehension Dataset From Examinations. 785-794 - Mark Hopkins, Cristian Petrescu-Prahova, Roie Levin, Ronan Le Bras, Alvaro Herrasti, Vidur Joshi:
Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers. 795-804 - Danqing Huang, Shuming Shi, Chin-Yew Lin, Jian Yin:
Learning Fine-Grained Expressions to Solve Math Word Problems. 805-814 - Rui Liu, Junjie Hu, Wei Wei, Zi Yang, Eric Nyberg:
Structural Embedding of Syntactic Trees for Machine Comprehension. 815-824 - Teng Long, Emmanuel Bengio, Ryan Lowe, Jackie Chi Kit Cheung, Doina Precup:
World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions. 825-834 - David Golub, Po-Sen Huang, Xiaodong He, Li Deng:
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension. 835-844 - Yan Wang, Xiaojiang Liu, Shuming Shi:
Deep Neural Solver for Math Word Problems. 845-854 - Deepak P, Dinesh Garg, Shirish K. Shevade:
Latent Space Embedding for Retrieval in Question-Answer Archives. 855-865 - Nan Duan, Duyu Tang, Peng Chen, Ming Zhou:
Question Generation for Question Answering. 866-874 - Li Dong, Jonathan Mallinson, Siva Reddy, Mirella Lapata:
Learning to Paraphrase for Question Answering. 875-886 - Yuanliang Meng, Anna Rumshisky, Alexey Romanov:
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture. 887-896 - Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti:
Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model. 897-902 - Semih Yavuz, Izzeddin Gur, Yu Su, Xifeng Yan:
Recovering Question Answering Errors via Query Revision. 903-909 - Jean-Benoit Delbrouck, Stéphane Dupont:
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation. 910-919 - Ashwin K. Vijayakumar, Ramakrishna Vedantam, Devi Parikh:
Sound-Word2Vec: Learning Word Representations Grounded in Sounds. 920-925 - Aroma Mahendru, Viraj Prabhu, Akrit Mohapatra, Dhruv Batra, Stefan Lee:
The Promise of Premise: Harnessing Question Premises in Visual Question Answering. 926-935 - Peter Anderson, Basura Fernando, Mark Johnson, Stephen Gould:
Guided Open Vocabulary Image Captioning with Constrained Beam Search. 936-945 - Rowan Zellers, Yejin Choi:
Zero-Shot Activity Recognition with Verb Attribute Induction. 946-958 - Sina Zarrieß, David Schlangen:
Deriving continous grounded meaning representations from referentially structured multimodal contexts. 959-965 - Licheng Yu, Mohit Bansal, Tamara L. Berg:
Hierarchically-Attentive RNN for Album Summarization and Storytelling. 966-971 - Cheng-Yang Fu, Joon Lee, Mohit Bansal, Alexander C. Berg:
Video Highlight Prediction Using Audience Chat Reactions. 972-978 - Ramakanth Pasunuru, Mohit Bansal:
Reinforced Video Captioning with Entailment Rewards. 979-985 - Jesse Mu, Joshua K. Hartshorne, Timothy J. O'Donnell:
Evaluating Hierarchies of Verb Argument Structure with Hierarchical Clustering. 986-991 - Iacer Calixto, Qun Liu:
Incorporating Global Visual Features into Attention-based Neural Machine Translation. 992-1003 - Dipendra Kumar Misra, John Langford, Yoav Artzi:
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning. 1004-1015 - Kathleen C. Fraser, Kristina Lundholm Fors, Dimitrios Kokkinakis, Arto Nordlund:
An analysis of eye-movements during reading for the detection of mild cognitive impairment. 1016-1026 - Qiang Ning, Zhili Feng, Dan Roth:
A Structured Learning Approach to Temporal Relation Extraction. 1027-1037 - Arun Tejasvi Chaganty, Ashwin Paranjape, Percy Liang, Christopher D. Manning:
Importance sampling for unbiased on-demand evaluation of knowledge base population. 1038-1048 - Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo:
PACRR: A Position-Aware Neural IR Model for Relevance Matching. 1049-1058 - Jonathan Raiman, John Miller:
Globally Normalized Reader. 1059-1069 - Micha Elsner, Cory Shain:
Speech segmentation with a neural encoder model of working memory. 1070-1080 - Luana Bulat, Stephen Clark, Ekaterina Shutova:
Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain. 1081-1091 - Haoran Li, Junnan Zhu, Cong Ma, Jiajun Zhang, Chengqing Zong:
Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video. 1092-1102 - Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, Louis-Philippe Morency:
Tensor Fusion Network for Multimodal Sentiment Analysis. 1103-1114 - Kenneth Joseph, Lisa Friedland, William Hobbs, David Lazer, Oren Tsur:
ConStance: Modeling Annotation Contexts to Improve Stance Classification. 1115-1124 - John Pavlopoulos, Prodromos Malakasiotis, Ion Androutsopoulos:
Deeper Attention to Abusive User Content Moderation. 1125-1135 - Haim Dubossarsky, Daphna Weinshall, Eitan Grossman:
Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models. 1136-1145 - Veronica E. Lynn, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian, H. Andrew Schwartz:
Human Centered NLP with User-Factor Adaptation. 1146-1155 - Alessandro Raganato, Claudio Delli Bovi, Roberto Navigli:
Neural Sequence Learning Models for Word Sense Disambiguation. 1156-1167 - Guy D. Rosin, Eytan Adar, Kira Radinsky:
Learning Word Relatedness over Time. 1168-1178 - Gehui Shen, Yunlun Yang, Zhi-Hong Deng:
Inter-Weighted Alignment Network for Sentence Pair Modeling. 1179-1189 - Chengyu Wang, Xiaofeng He, Aoying Zhou:
A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances. 1190-1203 - Pengfei Liu, Kaiyu Qian, Xipeng Qiu, Xuanjing Huang:
Idiom-Aware Compositional Distributed Semantics. 1204-1213 - Yuchen Zhang, Panupong Pasupat, Percy Liang:
Macro Grammars and Holistic Triggering for Efficient Semantic Parsing. 1214-1223 - Wuwei Lan, Siyu Qiu, Hua He, Wei Xu:
A Continuously Growing Dataset of Sentential Paraphrases. 1224-1234 - Yu Su, Xifeng Yan:
Cross-domain Semantic Parsing via Paraphrasing. 1235-1246 - Bishan Yang, Tom M. Mitchell:
A Joint Sequential and Relational Model for Frame-Semantic Parsing. 1247-1256 - Chuan Wang, Nianwen Xue:
Getting the Most out of AMR Parsing. 1257-1268 - Miguel Ballesteros, Yaser Al-Onaizan:
AMR Parsing using Stack-LSTMs. 1269-1275 - Jie Zhao, Yu Su, Ziyu Guan, Huan Sun:
An End-to-End Deep Framework for Answer Triggering with a Novel Group-Level Objective. 1276-1282 - Andrew Cattle, Xiaojuan Ma:
Predicting Word Association Strengths. 1283-1288 - Yang Liu, Mirella Lapata:
Learning Contextually Informed Representations for Linear-Time Discourse Parsing. 1289-1298 - Man Lan, Jianxiang Wang, Yuanbin Wu, Zheng-Yu Niu, Haifeng Wang:
Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification. 1299-1308 - Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu:
Chinese Zero Pronoun Resolution with Deep Memory Network. 1309-1318 - Mathieu Morey, Philippe Muller, Nicholas Asher:
How much progress have we made on RST discourse parsing? A replication study of recent results on the RST-DT. 1319-1324 - Sharid Loáiciga, Liane Guillou, Christian Hardmeier:
What is it? Disambiguating the different readings of the pronoun 'it'. 1325-1331 - Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube:
Revisiting Selectional Preferences for Coreference Resolution. 1332-1339 - Liang Wang, Sujian Li, Yajuan Lv, Houfeng Wang:
Learning to Rank Semantic Coherence for Topic Segmentation. 1340-1344 - Eyal Shnarch, Ran Levy, Vikas C. Raykar, Noam Slonim:
GRASP: Rich Patterns for Argumentation Mining. 1345-1350 - Khalid Al Khatib, Henning Wachsmuth, Matthias Hagen, Benno Stein:
Patterns of Argumentation Strategies across Topics. 1351-1357 - Haijing Liu, Yang Gao, Pin Lv, Mengxue Li, Shiqiang Geng, Minglan Li, Hao Wang:
Using Argument-based Features to Predict and Analyse Review Helpfulness. 1358-1363 - Peter Potash, Alexey Romanov, Anna Rumshisky:
Here's My Point: Joint Pointer Architecture for Argument Mining. 1364-1373 - Oana Cocarascu, Francesca Toni:
Identifying attack and support argumentative relations using deep learning. 1374-1379 - Matthias Sperber, Graham Neubig, Jan Niehues, Alex Waibel:
Neural Lattice-to-Sequence Models for Uncertain Inputs. 1380-1389 - Yang Feng, Shiyue Zhang, Andi Zhang, Dong Wang, Andrew Abel:
Memory-augmented Neural Machine Translation. 1390-1399 - Marlies van der Wees, Arianna Bisazza, Christof Monz:
Dynamic Data Selection for Neural Machine Translation. 1400-1410 - Leonard Dahlmann, Evgeny Matusov, Pavel Petrushkov, Shahram Khadivi:
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search. 1411-1420 - Xing Wang, Zhaopeng Tu, Deyi Xiong, Min Zhang:
Translating Phrases in Neural Machine Translation. 1421-1431 - Baosong Yang, Derek F. Wong, Tong Xiao, Lidia S. Chao, Jingbo Zhu:
Towards Bidirectional Hierarchical Representations for Attention-based Neural Machine Translation. 1432-1441 - Derry Wijaya, Brendan Callahan, John Hewitt, Jie Gao, Xiao Ling, Marianna Apidianaki, Chris Callison-Burch:
Learning Translations via Matrix Completion. 1452-1463 - Khanh Nguyen, Hal Daumé III, Jordan L. Boyd-Graber:
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback. 1464-1474 - Xiaowei Zhang, Wei Chen, Feng Wang, Shuang Xu, Bo Xu:
Towards Compact and Fast Neural Machine Translation Using a Combined Method. 1475-1481 - Rui Wang, Masao Utiyama, Lemao Liu, Kehai Chen, Eiichiro Sumita:
Instance Weighting for Neural Machine Translation Domain Adaptation. 1482-1488 - Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann, Rico Sennrich:
Regularization techniques for fine-tuning in neural machine translation. 1489-1494 - Yin-Wen Chang, Michael Collins:
Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms. 1495-1499 - Tobias Domhan, Felix Hieber:
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning. 1500-1505 - Diego Marcheggiani, Ivan Titov:
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling. 1506-1515 - Jayant Krishnamurthy, Pradeep Dasigi, Matt Gardner:
Neural Semantic Parsing with Type Constraints for Semi-Structured Tables. 1516-1526 - Shashank Srivastava, Igor Labutov, Tom M. Mitchell:
Joint Concept Learning and Semantic Parsing from Natural Language Explanations. 1527-1536 - Marek Rei, Luana Bulat, Douwe Kiela, Ekaterina Shutova:
Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection. 1537-1546 - Katherine A. Keith, Abram Handler, Michael Pinkham, Cara Magliozzi, Joshua McDuffie, Brendan O'Connor:
Identifying civilians killed by police with distantly supervised entity-event extraction. 1547-1557 - Justine Zhang, Arthur Spirling, Cristian Danescu-Niculescu-Mizil:
Asking too much? The rhetorical role of questions in political discourse. 1558-1572 - David Vilares, Yulan He:
Detecting Perspectives in Political Debates. 1573-1582 - Sandesh Swamy, Alan Ritter, Marie-Catherine de Marneffe:
"i have a feeling trump will win..................": Forecasting Winners and Losers from User Predictions on Twitter. 1583-1592 - Lin Gui, Jiannan Hu, Yulan He, Ruifeng Xu, Qin Lu, Jiachen Du:
A Question Answering Approach for Emotion Cause Extraction. 1593-1602 - Snigdha Chaturvedi, Haoruo Peng, Dan Roth:
Story Comprehension for Predicting What Happens Next. 1603-1614 - Bjarke Felbo, Alan Mislove, Anders Søgaard, Iyad Rahwan, Sune Lehmann:
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm. 1615-1625 - Zhongqing Wang, Yue Zhang:
Opinion Recommendation Using A Neural Model. 1626-1637 - Jiong Cai, Yong Jiang, Kewei Tu:
CRF Autoencoder for Unsupervised Dependency Parsing. 1638-1643 - Caio Corro, Joseph Le Roux, Mathieu Lacroix:
Efficient Discontinuous Phrase-Structure Parsing via the Generalized Maximum Spanning Arborescence. 1644-1654 - Xiaoqing Zheng:
Incremental Graph-based Neural Dependency Parsing. 1655-1665 - Milos Stanojevic, Raquel G. Alhama:
Neural Discontinuous Constituency Parsing. 1666-1676 - Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
Stack-based Multi-layer Attention for Transition-based Dependency Parsing. 1677-1682 - Wenjuan Han, Yong Jiang, Kewei Tu:
Dependency Grammar Induction with Neural Lexicalization and Big Training Data. 1683-1688 - Yong Jiang, Wenjuan Han, Kewei Tu:
Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition. 1689-1694 - Mitchell Stern, Daniel Fried, Dan Klein:
Effective Inference for Generative Neural Parsing. 1695-1700 - Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, Dan Goldwasser:
Semi-supervised Structured Prediction with Neural CRF Autoencoder. 1701-1711 - Jungo Kasai, Bob Frank, R. Thomas McCoy, Owen Rambow, Alexis Nasr:
TAG Parsing with Neural Networks and Vector Representations of Supertags. 1712-1722 - Heike Adel, Hinrich Schütze:
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification. 1723-1729 - Meishan Zhang, Yue Zhang, Guohong Fu:
End-to-End Neural Relation Extraction with Global Optimization. 1730-1740 - Prakhar Ojha, Partha P. Talukdar:
KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs. 1741-1750 - Jay Pujara, Eriq Augustine, Lise Getoor:
Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short. 1751-1756 - Goran Glavas, Simone Paolo Ponzetto:
Dual Tensor Model for Detecting Asymmetric Lexico-Semantic Relations. 1757-1767 - Wenyuan Zeng, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Incorporating Relation Paths in Neural Relation Extraction. 1768-1777 - Yi Wu, David Bamman, Stuart Russell:
Adversarial Training for Relation Extraction. 1778-1783 - Daniil Sorokin, Iryna Gurevych:
Context-Aware Representations for Knowledge Base Relation Extraction. 1784-1789 - Tianyu Liu, Kexiang Wang, Baobao Chang, Zhifang Sui:
A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction. 1790-1795 - Prafulla Kumar Choubey, Ruihong Huang:
A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events. 1796-1802 - Yi Yao Huang, William Yang Wang:
Deep Residual Learning for Weakly-Supervised Relation Extraction. 1803-1807 - Qing Zhang, Houfeng Wang:
Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective. 1808-1813 - Kata Gábor, Haïfa Zargayouna, Isabelle Tellier, Davide Buscaldi, Thierry Charnois:
Exploring Vector Spaces for Semantic Relations. 1814-1823 - Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants. 1824-1829 - Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith:
Dynamic Entity Representations in Neural Language Models. 1830-1839 - Ivano Basile, Fabio Tamburini:
Towards Quantum Language Models. 1840-1849 - Zichao Yang, Phil Blunsom, Chris Dyer, Wang Ling:
Reference-Aware Language Models. 1850-1859 - Oren Melamud, Ido Dagan, Jacob Goldberger:
A Simple Language Model based on PMI Matrix Approximations. 1860-1865 - Zhenisbek Assylbekov, Rustem Takhanov, Bagdat Myrzakhmetov, Jonathan North Washington:
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones. 1866-1872 - Lea Frermann, György Szarvas:
Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels. 1873-1883 - Shen Li, Zhe Zhao, Tao Liu, Renfen Hu, Xiaoyong Du:
Initializing Convolutional Filters with Semantic Features for Text Classification. 1884-1889 - Giannis Nikolentzos, Polykarpos Meladianos, François Rousseau, Yannis Stavrakas, Michalis Vazirgiannis:
Shortest-Path Graph Kernels for Document Similarity. 1890-1900 - Weiwei Yang, Jordan L. Boyd-Graber, Philip Resnik:
Adapting Topic Models using Lexical Associations with Tree Priors. 1901-1906 - Natalie Parde, Rodney D. Nielsen:
Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data. 1907-1912 - Chenguang Wang, Alan Akbik, Laura Chiticariu, Yunyao Li, Fei Xia, Anbang Xu:
CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles. 1913-1922 - Meng Zhang, Yang Liu, Huanbo Luan, Maosong Sun:
Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction. 1934-1945 - Felix Stahlberg, Bill Byrne:
Unfolding and Shrinking Neural Machine Translation Ensembles. 1946-1956 - Jasmijn Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Sima'an:
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation. 1957-1967 - Jiatao Gu, Kyunghyun Cho, Victor O. K. Li:
Trainable Greedy Decoding for Neural Machine Translation. 1968-1978 - Fan Yang, Arjun Mukherjee, Eduard Constantin Dragut:
Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features. 1979-1989 - Besnik Fetahu, Katja Markert, Avishek Anand:
Fine Grained Citation Span for References in Wikipedia. 1990-1999 - Diyi Yang, Aaron Halfaker, Robert E. Kraut, Eduard H. Hovy:
Identifying Semantic Edit Intentions from Revisions in Wikipedia. 2000-2010 - Izzeddin Gur, Daniel Hewlett, Alexandre Lacoste, Llion Jones:
Accurate Supervised and Semi-Supervised Machine Reading for Long Documents. 2011-2020 - Robin Jia, Percy Liang:
Adversarial Examples for Evaluating Reading Comprehension Systems. 2021-2031 - Hongyu Lin, Le Sun, Xianpei Han:
Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension. 2032-2043 - Yichun Yin, Yangqiu Song, Ming Zhang:
Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension. 2044-2054 - Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych:
What is the Essence of a Claim? Cross-Domain Claim Identification. 2055-2066 - Xinya Du, Claire Cardie:
Identifying Where to Focus in Reading Comprehension for Neural Question Generation. 2067-2073 - Lucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester, Chris Develder:
Break it Down for Me: A Study in Automated Lyric Annotation. 2074-2080 - Piji Li, Wai Lam, Lidong Bing, Weiwei Guo, Hang Li:
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization. 2081-2090 - Piji Li, Wai Lam, Lidong Bing, Zihao Wang:
Deep Recurrent Generative Decoder for Abstractive Text Summarization. 2091-2100 - Masaru Isonuma, Toru Fujino, Junichiro Mori, Yutaka Matsuo, Ichiro Sakata:
Extractive Summarization Using Multi-Task Learning with Document Classification. 2101-2110 - Jianmin Zhang, Xiaojun Wan:
Towards Automatic Construction of News Overview Articles by News Synthesis. 2111-2116 - Kai Zhao, Liang Huang:
Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank. 2117-2123 - Prafulla Kumar Choubey, Ruihong Huang:
Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events. 2124-2133 - Liang Huang, Kai Zhao, Mingbo Ma:
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size). 2134-2139 - Di Wang, Nebojsa Jojic, Chris Brockett, Eric Nyberg:
Steering Output Style and Topic in Neural Response Generation. 2140-2150 - Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari:
Preserving Distributional Information in Dialogue Act Classification. 2151-2156 - Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, Dan Jurafsky:
Adversarial Learning for Neural Dialogue Generation. 2157-2169 - Yang Liu, Kun Han, Zhao Tan, Yun Lei:
Using Context Information for Dialog Act Classification in DNN Framework. 2170-2178 - Yohan Jo, Michael Yoder, Hyeju Jang, Carolyn P. Rosé:
Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences. 2179-2189 - Lili Yao, Yaoyuan Zhang, Yansong Feng, Dongyan Zhao, Rui Yan:
Towards Implicit Content-Introducing for Generative Short-Text Conversation Systems. 2190-2199 - Cheng Chang, Runzhe Yang, Lu Chen, Xiang Zhou, Kai Yu:
Affordable On-line Dialogue Policy Learning. 2200-2209 - Yuanlong Shao, Stephan Gouws, Denny Britz, Anna Goldie, Brian Strope, Ray Kurzweil:
Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models. 2210-2219 - Arash Eshghi, Igor Shalyminov, Oliver Lemon:
Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars. 2220-2230 - Baolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Celikyilmaz, Sungjin Lee, Kam-Fai Wong:
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning. 2231-2240 - Jekaterina Novikova, Ondrej Dusek, Amanda Cercas Curry, Verena Rieser:
Why We Need New Evaluation Metrics for NLG. 2241-2252 - Sam Wiseman, Stuart M. Shieber, Alexander M. Rush:
Challenges in Data-to-Document Generation. 2253-2263 - Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee:
All that is English may be Hindi: Enhancing language identification through automatic ranking of the likeliness of word borrowing in social media. 2264-2274 - Tao Ding, Warren K. Bickel, Shimei Pan:
Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use Prediction. 2275-2284 - Aparna Garimella, Carmen Banea, Rada Mihalcea:
Demographic-aware word associations. 2285-2295 - Hao Cheng, Hao Fang, Mari Ostendorf:
A Factored Neural Network Model for Characterizing Online Discussions in Vector Space. 2296-2306 - Farzana Rashid, Eduardo Blanco:
Dimensions of Interpersonal Relationships: Corpus and Experiments. 2307-2316 - Mihai Dusmanu, Elena Cabrio, Serena Villata:
Argument Mining on Twitter: Arguments, Facts and Sources. 2317-2322 - Tatsuya Aoki, Ryohei Sasano, Hiroya Takamura, Manabu Okumura:
Distinguishing Japanese Non-standard Usages from Standard Ones. 2323-2328 - Maarten Sap, Marcella Cindy Prasettio, Ari Holtzman, Hannah Rashkin, Yejin Choi:
Connotation Frames of Power and Agency in Modern Films. 2329-2334 - Daniel Preotiuc-Pietro, Sharath Chandra Guntuku, Lyle H. Ungar:
Controlling Human Perception of Basic User Traits. 2335-2341 - Clément Gautrais, Peggy Cellier, René Quiniou, Alexandre Termier:
Topic Signatures in Political Campaign Speeches. 2342-2347 - H. Andrew Schwartz, Masoud Rouhizadeh, Michael Bishop, Philip Tetlock, Barbara A. Mellers, Lyle H. Ungar:
Assessing Objective Recommendation Quality through Political Forecasting. 2348-2357 - Masumi Shirakawa, Takahiro Hara, Takuya Maekawa:
Never Abandon Minorities: Exhaustive Extraction of Bursty Phrases on Microblogs Using Set Cover Problem. 2358-2367 - Haoruo Peng, Ming-Wei Chang, Wen-tau Yih:
Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision. 2368-2378 - Henning Wachsmuth, Giovanni Da San Martino, Dora Kiesel, Benno Stein:
The Impact of Modeling Overall Argumentation with Tree Kernels. 2379-2389 - Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin:
Learning Generic Sentence Representations Using Convolutional Neural Networks. 2390-2400 - Hadi Amiri, Timothy Miller, Guergana Savova:
Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks. 2401-2410 - Tao Gui, Qi Zhang, Haoran Huang, Minlong Peng, Xuanjing Huang:
Part-of-Speech Tagging for Twitter with Adversarial Neural Networks. 2411-2420 - Bofang Li, Tao Liu, Zhe Zhao, Buzhou Tang, Aleksandr Drozd, Anna Rogers, Xiaoyong Du:
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings. 2421-2431 - Chloé Braud, Ophélie Lacroix, Anders Søgaard:
Does syntax help discourse segmentation? Not so much. 2432-2442 - Mike Lewis, Denis Yarats, Yann N. Dauphin, Devi Parikh, Dhruv Batra:
Deal or No Deal? End-to-End Learning of Negotiation Dialogues. 2443-2453 - Lu Chen, Xiang Zhou, Cheng Chang, Runzhe Yang, Kai Yu:
Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning. 2454-2464 - Peter Potash, Anna Rumshisky:
Towards Debate Automation: a Recurrent Model for Predicting Debate Winners. 2465-2475 - Qingsong Ma, Yvette Graham, Timothy Baldwin, Qun Liu:
Further Investigation into Reference Bias in Monolingual Evaluation of Machine Translation. 2476-2485 - Pierre Isabelle, Colin Cherry, George F. Foster:
A Challenge Set Approach to Evaluating Machine Translation. 2486-2496 - Ndapandula Nakashole, Raphael Flauger:
Knowledge Distillation for Bilingual Dictionary Induction. 2497-2506 - Rachel Bawden:
Machine Translation, it's a question of style, innit? The case of English tag questions. 2507-2512 - Nima Pourdamghani, Kevin Knight:
Deciphering Related Languages. 2513-2518 - Adam St. Arnaud, David Beck, Grzegorz Kondrak:
Identifying Cognate Sets Across Dictionaries of Related Languages. 2519-2528 - Chaitanya Malaviya, Graham Neubig, Patrick Littell:
Learning Language Representations for Typology Prediction. 2529-2535 - Stephen Mayhew, Chen-Tse Tsai, Dan Roth:
Cheap Translation for Cross-Lingual Named Entity Recognition. 2536-2545 - Ivan Vulic, Nikola Mrksic, Anna Korhonen:
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation. 2546-2558 - Annemarie Friedrich, Damyana Gateva:
Classification of telicity using cross-linguistic annotation projection. 2559-2565 - Carolin Lawrence, Artem Sokolov, Stefan Riezler:
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation. 2566-2576 - Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou:
Learning Fine-grained Relations from Chinese User Generated Categories. 2577-2587 - Lifu Huang, Avirup Sil, Heng Ji, Radu Florian:
Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures. 2588-2597 - Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson:
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. 2598-2607 - Aldrian Obaja Muis, Wei Lu:
Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators. 2608-2618 - Octavian-Eugen Ganea, Thomas Hofmann:
Deep Joint Entity Disambiguation with Local Neural Attention. 2619-2629 - Kiril Gashteovski, Rainer Gemulla, Luciano Del Corro:
MinIE: Minimizing Facts in Open Information Extraction. 2630-2640 - Yi Luan, Mari Ostendorf, Hannaneh Hajishirzi:
Scientific Information Extraction with Semi-supervised Neural Tagging. 2641-2651 - Siliang Tang, Ning Zhang, Jinjian Zhang, Fei Wu, Yueting Zhuang:
NITE: A Neural Inductive Teaching Framework for Domain Specific NER. 2652-2657 - Aditya Sharma, Zarana Parekh, Partha P. Talukdar:
Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods. 2658-2663 - Peng-Hsuan Li, Ruo-Ping Dong, Yu-Siang Wang, Ju-Chieh Chou, Wei-Yun Ma:
Leveraging Linguistic Structures for Named Entity Recognition with Bidirectional Recursive Neural Networks. 2664-2669 - Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum:
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions. 2670-2680 - Nitish Gupta, Sameer Singh, Dan Roth:
Entity Linking via Joint Encoding of Types, Descriptions, and Context. 2681-2690 - Hua He, Kris Ganjam, Navendu Jain, Jessica Lundin, Ryen White, Jimmy Lin:
An Insight Extraction System on BioMedical Literature with Deep Neural Networks. 2691-2701 - Vivi Nastase, Carlo Strapparava:
Word Etymology as Native Language Interference. 2702-2707 - Joshua D. Eisenberg, Mark A. Finlayson:
A Simpler and More Generalizable Story Detector using Verb and Character Features. 2708-2715 - Sarah Schulz, Jonas Kuhn:
Multi-modular domain-tailored OCR post-correction. 2716-2726 - Bingfeng Luo, Yansong Feng, Jianbo Xu, Xiang Zhang, Dongyan Zhao:
Learning to Predict Charges for Criminal Cases with Legal Basis. 2727-2736 - Alexandra Schofield, Laure Thompson, David M. Mimno:
Quantifying the Effects of Text Duplication on Semantic Models. 2737-2747 - Honglei Zhuang, Chi Wang, Fangbo Tao, Lance M. Kaplan, Jiawei Han:
Identifying Semantically Deviating Outlier Documents. 2748-2757 - Dongyeop Kang, Varun Gangal, Ang Lu, Zheng Chen, Eduard H. Hovy:
Detecting and Explaining Causes From Text For a Time Series Event. 2758-2767 - Zhuoxuan Jiang, Shanshan Feng, Gao Cong, Chunyan Miao, Xiaoming Li:
A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC. 2768-2773 - Kanthashree Mysore Sathyendra, Shomir Wilson, Florian Schaub, Sebastian Zimmeck, Norman M. Sadeh:
Identifying the Provision of Choices in Privacy Policy Text. 2774-2779 - Tanya Goyal, Sachin Kelkar, Manas Agarwal, Jeenu Grover:
An Empirical Analysis of Edit Importance between Document Versions. 2780-2784 - Shaolei Wang, Wanxiang Che, Yue Zhang, Meishan Zhang, Ting Liu:
Transition-Based Disfluency Detection using LSTMs. 2785-2794 - Helen Yannakoudakis, Marek Rei, Øistein E. Andersen, Zheng Yuan:
Neural Sequence-Labelling Models for Grammatical Error Correction. 2795-2806 - Allen Schmaltz, Yoon Kim, Alexander M. Rush, Stuart M. Shieber:
Adapting Sequence Models for Sentence Correction. 2807-2813 - Xing Niu, Marianna J. Martindale, Marine Carpuat:
A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output. 2814-2819 - Jacob Devlin:
Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU. 2820-2825 - Longyue Wang, Zhaopeng Tu, Andy Way, Qun Liu:
Exploiting Cross-Sentence Context for Neural Machine Translation. 2826-2831 - Joo-Kyung Kim, Young-Bum Kim, Ruhi Sarikaya, Eric Fosler-Lussier:
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources. 2832-2838 - Spandana Gella, Rico Sennrich, Frank Keller, Mirella Lapata:
Image Pivoting for Learning Multilingual Multimodal Representations. 2839-2845 - Kehai Chen, Rui Wang, Masao Utiyama, Lemao Liu, Akihiro Tamura, Eiichiro Sumita, Tiejun Zhao:
Neural Machine Translation with Source Dependency Representation. 2846-2852 - Dan Han, Pascual Martínez-Gómez, Koji Mineshima:
Visual Denotations for Recognizing Textual Entailment. 2853-2859 - Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Sequence Effects in Crowdsourced Annotations. 2860-2865 - Ferhan Türe, Oliver Jojic:
No Need to Pay Attention: Simple Recurrent Neural Networks Work! 2866-2872 - David M. Mimno, Laure Thompson:
The strange geometry of skip-gram with negative sampling. 2873-2878 - Jan A. Botha, Emily Pitler, Ji Ma, Anton Bakalov, Alex Salcianu, David Weiss, Ryan T. McDonald, Slav Petrov:
Natural Language Processing with Small Feed-Forward Networks. 2879-2885 - Xin Li, Wai Lam:
Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction. 2886-2892 - Jacob Andreas, Dan Klein:
Analogs of Linguistic Structure in Deep Representations. 2893-2897 - Wei Yang, Wei Lu, Vincent W. Zheng:
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings. 2898-2904 - Enrique Noriega-Atala, Marco Antonio Valenzuela-Escárcega, Clayton T. Morrison, Mihai Surdeanu:
Learning what to read: Focused machine reading. 2905-2910 - Lei Shu, Hu Xu, Bing Liu:
DOC: Deep Open Classification of Text Documents. 2911-2916 - Varun Gangal, Harsh Jhamtani, Graham Neubig, Eduard H. Hovy, Eric Nyberg:
Charmanteau: Character Embedding Models For Portmanteau Creation. 2917-2922 - E. Dario Gutiérrez, Guillermo A. Cecchi, Cheryl Corcoran, Philip R. Corlett:
Using Automated Metaphor Identification to Aid in Detection and Prediction of First-Episode Schizophrenia. 2923-2930 - Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova, Yejin Choi:
Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking. 2931-2937 - Stefano Menini, Federico Nanni, Simone Paolo Ponzetto, Sara Tonelli:
Topic-Based Agreement and Disagreement in US Electoral Manifestos. 2938-2944 - Hainan Xu, Philipp Koehn:
Zipporah: a Fast and Scalable Data Cleaning System for Noisy Web-Crawled Parallel Corpora. 2945-2950 - Tobias Falke, Iryna Gurevych:
Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps. 2951-2961 - Satwik Kottur, José M. F. Moura, Stefan Lee, Dhruv Batra:
Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog. 2962-2967 - Andrew Yates, Arman Cohan, Nazli Goharian:
Depression and Self-Harm Risk Assessment in Online Forums. 2968-2978 - Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. 2979-2989
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-12-01 23:10 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
